Literature DB >> 22477929

Depression screening as a quality indicator.

Daniel J Luchins1.   

Abstract

Objective Although practice guidelines for depression screening are evidence based, with their development relying on reviews of controlled studies, their adaptation and use as quality indicators have not been subject to rigorous study. This paper will therefore review the evidence supporting this practice.Methods A rational evaluation was carried out on both controlled studies and other sources of evidence related to the technical, clinical and policy assumptions underlying the use of depression screening guidelines as quality indicators.Results 1) Technical assumptions: depression screening could be used as a quality indicator. Current information technology does not allow accurate determination of who would benefit from being screened, whether they actually were screened, or the optimal percentage that should be screened. 2) Clinical assumptions: depression screening would improve outcomes. The evidence suggests that although depression screening might increase the diagnosis of depression, depressed patients so recognised tend to be less ill, less in need of treatment, or less likely to benefit from treatment, while screening, in the absence of other interventions, does not improve outcomes. 3) Policy assumptions: depression screening should be a focus of quality improvement. However, relative to other preventative measures, depression screening is a low priority. It does not meet usual cost-effectiveness criteria. There are more robust interventions for depression (i.e. collaborative care) that could be a focus of quality improvement efforts.Conclusion Although routine depression screening may be an acceptable practice guideline, its use as a quality measure is not supported.

Entities:  

Year:  2010        PMID: 22477929      PMCID: PMC2939453     

Source DB:  PubMed          Journal:  Ment Health Fam Med        ISSN: 1756-834X


  38 in total

Review 1.  Should we screen for depression?

Authors:  Simon Gilbody; Trevor Sheldon; Simon Wessely
Journal:  BMJ       Date:  2006-04-29

2.  An evaluation of the Veterans Health Administration's clinical reminders system: a national survey of generalists.

Authors:  Constance H Fung; Jerry S Tsai; Armine Lulejian; Peter Glassman; Emily Patterson; Brad N Doebbeling; Steven M Asch
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

3.  Performance measurement: problems and solutions.

Authors:  D M Eddy
Journal:  Health Aff (Millwood)       Date:  1998 Jul-Aug       Impact factor: 6.301

4.  Cross sectional study of symptom attribution and recognition of depression and anxiety in primary care.

Authors:  D Kessler; K Lloyd; G Lewis; D P Gray
Journal:  BMJ       Date:  1999-02-13

5.  The cost-utility of screening for depression in primary care.

Authors:  M Valenstein; S Vijan; J E Zeber; K Boehm; A Buttar
Journal:  Ann Intern Med       Date:  2001-03-06       Impact factor: 25.391

6.  Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire.

Authors:  R L Spitzer; K Kroenke; J B Williams
Journal:  JAMA       Date:  1999-11-10       Impact factor: 56.272

7.  PSA screening among elderly men with limited life expectancies.

Authors:  Louise C Walter; Daniel Bertenthal; Karla Lindquist; Badrinath R Konety
Journal:  JAMA       Date:  2006-11-15       Impact factor: 56.272

8.  How well do automated performance measures assess guideline implementation for new-onset depression in the Veterans Health Administration?

Authors:  Teresa L Kramer; Richard R Owen; Dale Cannon; Kevin L Sloan; Carol R Thrush; D Keith Williams; Mark A Austen
Journal:  Jt Comm J Qual Saf       Date:  2003-09

Review 9.  Antidepressant drug effects and depression severity: a patient-level meta-analysis.

Authors:  Jay C Fournier; Robert J DeRubeis; Steven D Hollon; Sona Dimidjian; Jay D Amsterdam; Richard C Shelton; Jan Fawcett
Journal:  JAMA       Date:  2010-01-06       Impact factor: 56.272

10.  Pitfalls of converting practice guidelines into quality measures: lessons learned from a VA performance measure.

Authors:  Louise C Walter; Natalie P Davidowitz; Paul A Heineken; Kenneth E Covinsky
Journal:  JAMA       Date:  2004-05-26       Impact factor: 56.272

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  1 in total

1.  Missed opportunities for depression screening in patients with arthritis in the United States.

Authors:  Mary E Margaretten; Patricia Katz; Gabriela Schmajuk; Edward Yelin
Journal:  J Gen Intern Med       Date:  2013-07-30       Impact factor: 5.128

  1 in total

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